Instructions to use OpenMed/OpenMed-PII-Portuguese-mSuperClinical-Large-279M-v1-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use OpenMed/OpenMed-PII-Portuguese-mSuperClinical-Large-279M-v1-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir OpenMed-PII-Portuguese-mSuperClinical-Large-279M-v1-mlx OpenMed/OpenMed-PII-Portuguese-mSuperClinical-Large-279M-v1-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 5a485a9b71132228bf98fec1759dd3899c44d14fbf3c9e974281e2ec50917307
- Size of remote file:
- 16 MB
- SHA256:
- c118b4d331e6757fbadddbd45b0fe1f6c4f7463850261acc295ca8d1d34bdb4f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.